This one day workshop is for anyone who wants to better understand data and the information needs of organisations, and learn how to identify and model data. It could be of particular interest to: business analysts, customer journey managers, systems analysts and solution developers.

Our Data Modelling Overview one day workshop offers a straightforward approach to identifying and modelling data in order to better understand the information needs of your organisation. Learn how to communicate those needs to your stakeholders and develop solutions to address business problems and opportunities.

Presented to you by one of the expert training consultants pictured below. Each member of our Data Analysis and Modelling training team brings substantial data analysis and data modelling experience to the programme.

While this is a standalone course which does not form part of a wider qualification, delegates can progress their learning through our Data Analysis course, which leads to the BCS Professional Certificate in Data Analysis, and is an elective module within the BCS Advanced International Diploma in Business Analysis.

To give you more of an idea of what you’ll learn and how the course will help you, here’s a quick guide.

A printed copy of the course manual will be sent to your home address in good time for the start of your course. Our delegates tell us that having access to a physical document is beneficial as both a reference document and for taking notes during the course. In addition, a link will be emailed to you to enable you to access an electronic copy of the same manual for convenient future reference.

No.

Data Modelling Overview (a one-day course)
Course Content

Introduction to Data Modelling

• The Importance of data
• Data and information
• Understanding business data
• Taking a holistic view
• A framework for thinking about data
• Data requirements
• Data analysis and data modelling
• What is a data model?
• Alternative data model notations
• Why model data?

Data Modelling with Class Diagrams

• Objects and classes
• Class diagrams
• Representing classes
• Naming conventions
• Associations
• Multiplicity
• Many-to-many relationships
• A framework for building class models

Validating Data Models

• Rationale for validating data models
• Navigation paths